Enhancing resolution of seismic data based on waveform inversion with cooperative coevolutionary differential evolution algorithm

Seg Technical Program Expanded Abstracts(2012)

引用 1|浏览5
暂无评分
摘要
PreviousNext No AccessSEG Technical Program Expanded Abstracts 2010Enhancing resolution of seismic data based on waveform inversion with cooperative coevolutionary differential evolution algorithmAuthors: Chao WangJinghuai GaoBin WengChao WangInstitute of Microwave, Xi'an Jiaotong University, Xi'an 710049, China.Search for more papers by this author, Jinghuai GaoInstitute of Microwave, Xi'an Jiaotong University, Xi'an 710049, China.Search for more papers by this author, and Bin WengResearch Center of CNOOC.Search for more papers by this authorhttps://doi.org/10.1190/1.3513032 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract In this paper, a new global optimization algorithm, cooperative coevolutionary differential evolution (CCDE), was proposed for seismic waveform inversion and applied to enhancing the resolution of seismic data. To invert a high resolution impedance section or seismic section, the earth model must be finely parameterized with large number of parameters. But the conventional global optimization algorithms often lose their effectiveness and advantages when applied to high‐dimensional and complex problems. CCDE is effective and robust for high‐dimensional waveform inversion. It decomposes the high‐dimensional model into some subcomponents. Then another novel feature of CCDE is that, it introduces a local fitness function for each subcomponent, and a new mutation operator is designed to guide the mutation direction of each subcomponent with the corresponding local fitness value. Compare with the commonly used resolution‐enhancement methods, our method can remove internal multiples and needs no assumptions for the wavelet and earth model.Permalink: https://doi.org/10.1190/1.3513032FiguresReferencesRelatedDetailsCited ByAssisted History Matching Using Pattern Recognition Technology3 March 2015Waveform inversion of cross‐well data with cooperative coevolutionary differential evolution algorithmChao Wang, Jinghuai Gao, Huiqun Yang, Wei Zhao, and Zhenyu Zhu8 August 2011 SEG Technical Program Expanded Abstracts 2010ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2010 Pages: 4453 publication data© 2010 Copyright © 2010 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 21 Oct 2010 CITATION INFORMATION Chao Wang, Jinghuai Gao, and Bin Weng, (2010), "Enhancing resolution of seismic data based on waveform inversion with cooperative coevolutionary differential evolution algorithm," SEG Technical Program Expanded Abstracts : 1075-1079. https://doi.org/10.1190/1.3513032 Plain-Language Summary PDF DownloadLoading ...
更多
查看译文
关键词
seismic data,inversion,waveform
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要